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Swarm Check-ins

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Zenodo2023-11-01 更新2026-05-26 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.10063908
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This database was created and collected with the goal of observing patterns in urban mobility. To achieve this, the Twitter API was used to collect public check-ins made by users via Foursquare Swarm.  check-in.csv description:  venueID: Foursquare venue identifier  userID: Swarm user identifier venueName: Name of the venue where the check-in was made category: Category of the venue where the check-in was made country: Country of the venue where the check-in was made city: City of the venue where the check-in was made timestamp: Time when the check-in was shared on Twitter latitude: Latitude of the venue where the check-in was made longitude: Longitude of the venue where the check-in was made The file categories.json contains information from all Foursquare categories.

本数据库专为观测城市出行模式创建并采集。为达成该研究目标,研究人员借助Twitter API(推特应用程序编程接口),采集用户通过Swarm(四方签到应用)发布的公开签到数据。 check-in.csv 文件说明: venueID:Foursquare(四方)场所标识符 userID:Swarm 用户标识符 venueName:本次签到所在场所的名称 category:本次签到所在场所的分类 country:本次签到所在场所所属国家 city:本次签到所在场所所属城市 timestamp:本次签到在推特平台发布的时间戳 latitude:本次签到所在场所的纬度坐标 longitude:本次签到所在场所的经度坐标 categories.json 文件包含所有Foursquare(四方)场所分类的相关信息。
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Zenodo
创建时间:
2023-11-01
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